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10.1007/s10489-020-01943-6 http://scihub22266oqcxt.onion/10.1007/s10489-020-01943-6 C7646727!7646727!34764562     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Appl+Intell+(Dordr) 2021 ; 51 (5): 2777-89 Nephropedia Template TP {{tp|p=34764562|t=2021. Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays |pdf=|usr=}}{{34764562}} gab.com Text Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays JO: Appl Intell (Dordr) http://www.kidney.de/pget.php?&tw=1&pmid=34764562 #FOAvip Since December 2019, the novel COVID-19?s spread rate is exponential, and AI-driven tools are used to prevent further spreading [1]. They can help predict, screen, and diagnose COVID-19 positive cases. Within this scope, imaging with Computed Tomography (CT) scans and Chest X-rays (CXRs) are widely used in mass triage situations. In the literature, AI-driven tools are limited to one data type either CT scan or CXR to detect COVID-19 positive cases. Integrating multiple data types could possibly provide more information in detecting anomaly patterns due to COVID-19. Therefore, in this paper, we engineered a Convolutional Neural Network (CNN) -tailored Deep Neural Network (DNN) that can collectively train/test both CT scans and CXRs. In our experiments, we achieved an overall accuracy of 96.28% (AUC =?0.9808 and false negative rate =?0.0208). Further, major existing DNNs provided coherent results while integrating CT scans and CXRs to detect COVID-19 positive cases. Twit Text FOAVip Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays ????Appl Intell (Dordr) http://www.kidney.de/pget.php?&tw=1&pmid=34764562 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34764562 #FOAvip English Wikipedia <ref>{{Cite pmid|34764562}}</ref> Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays #MMPMID34764562 Mukherjee H; Ghosh S; Dhar A; Obaidullah SM; Santosh KC; Roy K Appl Intell (Dordr) 2021[]; 51 (5): 2777-89 PMID34764562show ga Since December 2019, the novel COVID-19?s spread rate is exponential, and AI-driven tools are used to prevent further spreading [1]. They can help predict, screen, and diagnose COVID-19 positive cases. Within this scope, imaging with Computed Tomography (CT) scans and Chest X-rays (CXRs) are widely used in mass triage situations. In the literature, AI-driven tools are limited to one data type either CT scan or CXR to detect COVID-19 positive cases. Integrating multiple data types could possibly provide more information in detecting anomaly patterns due to COVID-19. Therefore, in this paper, we engineered a Convolutional Neural Network (CNN) -tailored Deep Neural Network (DNN) that can collectively train/test both CT scans and CXRs. In our experiments, we achieved an overall accuracy of 96.28% (AUC =?0.9808 and false negative rate =?0.0208). Further, major existing DNNs provided coherent results while integrating CT scans and CXRs to detect COVID-19 positive cases. äDeep neural network to detect COVID-19: one architecture for both CT S(epmc).pdf DeepDyve Pubget Overpricing